A generalized sensor location model for the estimation of network origin-destination matrices

Shou-Ren Hu*, Han Tsung Liou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

This study examined the network sensor location problem by using heterogeneous sensor information to estimate link-based network origin-destination (O-D) demands. The proposed generalized sensor location model enables different sensors' traffic monitoring capabilities to be used efficiently and the optimal number and deployment locations of both passive- and active-type sensors to be determined simultaneously without path enumeration. The proposed sensor location model was applied to solve the network O-D demand estimation problem. One unique aspect of the proposed model and solution algorithms is that they provide satisfactory network O-D demand estimates without requiring unreasonable assumptions of known prior information on O-D demands, turning proportions, or route choice probabilities. Therefore, the proposed model and solution algorithms can be practically used in numerous offline transportation planning and online traffic operation applications.

Original languageEnglish
Pages (from-to)93-110
Number of pages18
JournalTransportation Research Part C: Emerging Technologies
Volume40
DOIs
StatePublished - 1 Jan 2014

Keywords

  • Heterogeneous traffic information
  • Link-flow estimator
  • Network sensor location problem
  • Origin-destination (O-D) demand estimation

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